stnamjef / SPINNLinks
[NeurIPS 2023 Spotlight] Separable Physics-Informed Neural Networks
☆88Updated 2 years ago
Alternatives and similar repositories for SPINN
Users that are interested in SPINN are comparing it to the libraries listed below
Sorting:
- ☆89Updated last year
- ☆58Updated 2 years ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆76Updated 9 months ago
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆102Updated last year
- ☆36Updated 6 months ago
- MIONet: Learning multiple-input operators via tensor product☆44Updated 3 years ago
- ☆87Updated 2 years ago
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆69Updated 2 months ago
- [ICLR 2025] Wavelet Diffusion Neural Operator (WDNO) uses diffusion models on wavelet space for generative PDE simulation and control.☆55Updated 4 months ago
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs - ICLR 2023☆73Updated 2 years ago
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆19Updated last year
- ☆68Updated 5 months ago
- PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations☆25Updated 7 months ago
- ☆65Updated 10 months ago
- [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values☆30Updated last year
- ☆40Updated last year
- ☆53Updated 6 months ago
- ☆54Updated 3 years ago
- Official implementation of Scalable Transformer for PDE surrogate modelling☆53Updated last year
- Code repo for CoNFiLD: Conditional Neural Field Latent Diffusion Model Generating Spatiotemporal Turbulence☆80Updated 11 months ago
- Spectral Neural Operator☆79Updated 2 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆76Updated 2 years ago
- ☆55Updated 3 years ago
- PDE Preserved Neural Network☆59Updated 8 months ago
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆168Updated 9 months ago
- Code for Mesh Transformer describes in the EAGLE dataset☆42Updated 11 months ago
- Characterizing possible failure modes in physics-informed neural networks.☆148Updated 4 years ago
- ☆30Updated 3 years ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆67Updated last year
- ☆15Updated 2 years ago